How RAI Saved 3 Hours Per Day Per Store Manager
Automating grocery replenishment for 6,000+ SKUs with buffers.ai, reducing stockouts by 5% and achieving 95% process optimization.
From manual to automated
RAI is a grocery retailer managing 6,000–7,000 SKUs across its stores. Previously, inventory replenishment relied heavily on manual processes, making ordering time-consuming and error-prone.
After implementing buffers.ai, RAI automated its replenishment workflow, improving inventory accuracy, reducing stockouts, and saving significant time for store managers. Today, RAI has achieved ~95% optimization of its replenishment process.
Manual replenishment at scale was unsustainable
Before buffers.ai, replenishment was largely manual and difficult to manage at scale.
- Manual ordering: Store managers spent 3–4 hours per day preparing purchase orders manually.
- High complexity: Managing thousands of SKUs required constant manual calculations and frequent adjustments.
- Planning errors: Manual processes increased the risk of mistakes in orders and stock planning.
- Vendor communication: Differences in product naming, packaging, and weight-based items caused confusion.
- Limited ERP: The existing ERP system could not support automated replenishment workflows.
8–10% stockout rate
Negatively affecting sales and customer satisfaction across all stores.
Seamless integration with existing systems
buffers.ai was integrated into RAI's existing system using FTP-based data exchange with their ERP. The buffers.ai team worked closely with RAI's internal developers to configure the system and adapt it to their operational processes.
- Custom configuration for RAI's replenishment workflows
- Support for fractional units and weight-based products
- Localization of product naming for vendor communication
- Handling of unit inconsistencies across suppliers
- Ongoing technical support from the buffers.ai team
The transformation in practice
Before buffers.ai
- 3–4 hours per day preparing orders
- Manual calculations for thousands of SKUs
- High risk of planning errors
- Inefficient use of manager time
After buffers.ai
- Order prep takes 20–30 minutes
- 2–3 hours saved per manager per day
- Automated replenishment recommendations
- Faster, more accurate ordering
“buffers.ai also helps managers detect and resolve errors much faster, significantly improving planning accuracy. This allows managers to spend more time on store operations, merchandising, and customer experience.”
Smarter inventory, stronger operations
Reduced stockouts
Stockout rates decreased from 8–10% to ~4.5%, directly improving sales.
Better inventory balance
Reduced overstock and excess inventory, minimizing waste.
Improved supplier communication
Standardized product naming and unit handling across vendors.
Enhanced visibility
Built-in analytics identify slow-moving products, end-of-life items, and assortment opportunities.
buffers.ai is now a core part of RAI's retail operations
By implementing buffers.ai, RAI transformed its replenishment process from manual and error-prone to automated and data-driven — achieving major time savings, improved inventory accuracy, reduced stockouts and waste, and faster, more reliable decisions.
See what this looks like on your catalog
Talk to our team about your store count and SKU catalog, or estimate your cost first.